Stories from the gateway
Fundamentals
Long Context Degradation: How Quality Falls Before the Limit
Accuracy does not hold flat and then fall off a cliff at the context limit. It declines gradually, and the decline starts far earlier than most teams assume.
· 9 min readAI Agents
Map-Reduce With Agents: Splitting Work That Actually Splits
Map-reduce over an LLM is not the same as map-reduce over data. Where the shape works, where the reduce step quietly loses information, and how to fix it.
· 9 min readFundamentals
max_tokens and Truncation: Why Your Output Stops Mid-Sentence
· 8 min readAI Agents
MCP Server Design: Fewer Tools, Sharper Boundaries
· 9 min readAI Agents
MCP Transport Options: stdio, HTTP and When Each Fits
· 8 min readAI Agents
MCP vs Plain Tool Calling: When the Protocol Earns Its Keep
· 8 min readAI Agents
Measuring Agent Success Rate Without Fooling Yourself
· 9 min readModels
MiniMax M2.7 vs M3: How to Judge an In-Family Upgrade
· 8 min readModels
MiniMax M2.7: Should You Still Be Running It?
· 9 min readModels
MIT-Licensed Models: What You Can Actually Build On
· 9 min readModels
Model Deprecation and Migration: Planning for the Sunset
· 9 min readModels
Model Drift in Production: Detecting Quality Change With No Error
· 9 min readFundamentals
Model Parallelism: How Huge Models Are Split to Run
· 9 min readModels
Model Release Cadence in 2026: Building for a Moving Target
· 9 min readReady to start?
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